Why are the predictions of a machine learning model not always exact and how does it reflect uncertainty?
Saturday, 05 August 2023
by EITCA Academy
In the field of machine learning, the predictions made by a model are not always exact due to the inherent uncertainty that exists in the data and the learning process. This uncertainty arises from various sources, including noise in the data, limitations of the model, and the complexity of the underlying problem. Understanding the reasons
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Introduction to TensorFlow, Fundamentals of machine learning, Examination review
Tagged under:
Artificial Intelligence, Machine Learning, Model Limitations, Noise, Predictions, Uncertainty